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4 results for Cloud Computing Analyst in Alexandria, VA
- Washington, DC
- onsite
- Temporary / Contract
- 55 - 60 USD / Hourly
- <p>Senior Cloud Engineer – Observability & Performance Engineering</p><p>Location: Washington, DC 20549</p><p>Work Arrangement: Fully Onsite</p><p>Clearance Requirement: Ability to obtain and maintain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly experienced Cloud Engineer (Observability) to lead the engineering, optimization, and operational maturity of enterprise observability platforms across hybrid cloud and containerized environments.</p><p>This role is ideal for a hands-on engineer with deep expertise in Datadog, distributed tracing, APM, cloud monitoring, performance engineering, and site reliability practices. The successful candidate will partner with infrastructure, cloud, platform, and application teams to improve operational visibility, reduce alert fatigue, accelerate incident resolution, and drive data-informed operational decisions.</p><p><br></p><p>Key Responsibilities</p><p>Observability Platform Engineering</p><ul><li>Engineer and operate enterprise observability solutions including:</li><li>Metrics</li><li>Logs</li><li>Distributed tracing</li><li>APM</li><li>Real User Monitoring (RUM)</li><li>Synthetic monitoring</li><li>Network monitoring</li><li>Build and optimize dashboards, alerts, SLOs, and SLIs</li><li>Implement OpenTelemetry and language-specific instrumentation</li><li>Integrate observability tooling with ServiceNow, CI/CD pipelines, and incident management workflows</li><li>Establish and maintain telemetry tagging standards and governance</li></ul><p>Cloud & Container Monitoring</p><ul><li>Design monitoring solutions for Azure and AWS workloads</li><li>Implement observability for:</li><li>Serverless services</li><li>Managed databases</li><li>Networking</li><li>Identity services</li><li>Cloud-native platforms</li><li>Support Kubernetes and OpenShift monitoring including clusters, nodes, workloads, and service mesh environments</li><li>Develop reusable observability modules using Infrastructure-as-Code</li></ul><p>Performance Engineering & Reliability</p><ul><li>Lead investigation and remediation of performance, latency, reliability, and capacity issues</li><li>Utilize APM, profiling, distributed tracing, and database analytics to identify bottlenecks</li><li>Define trace-based alerting and deployment correlation strategies</li><li>Support major incident response activities and root cause analysis efforts</li></ul><p>Capacity Planning & Operational Excellence</p><ul><li>Analyze telemetry and capacity trends to identify risks and opportunities</li><li>Develop reporting and dashboards for leadership and engineering teams</li><li>Improve alert quality, monitoring coverage, and operational maturity</li><li>Support enterprise SLA, KPI, and availability objectives</li></ul>
- 2026-07-13T00:00:00Z
- Herndon, VA
- onsite
- Permanent / Full Time
- 150000 - 185000 USD / Yearly
- <p>We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.</p><p>• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.</p><p>• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.</p><p>• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.</p><p>• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.</p><p>• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.</p>
- 2026-06-25T00:00:00Z
- Washington, DC
- onsite
- Temporary / Contract
- 45 - 50 USD / Hourly
- <p><strong>Antivirus Engineer/Security Analyst</strong></p><p><strong>Location: Onsite in Washington D.C.</strong></p><p><strong>Duration: 6 month contract (Potential for conversion)</strong></p><p><br></p><p>This role will focus on enterprise endpoint security and anti-virus operations supporting both workstation and server environments. You will work with centralized security tools managing policies, deployments, and incident response for malware and endpoint protection events</p><p><br></p><p>Responsibilities:</p><p>• Manage deployment and configuration of enterprise anti-virus solutions across endpoints</p><p>• Administer centralized policies, updates, and protection settings</p><p>• Monitor and remediate malware incidents including root cause analysis</p><p>• Perform system health checks, scans, and compliance reporting</p><p>• Support security operations aligned with federal and zero-trust standards</p>
- 2026-07-01T00:00:00Z
- Arlington, VA
- onsite
- Permanent / Full Time
- 150000 - 190000 USD / Yearly
- We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
- 2026-07-14T00:00:00Z